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Opedd — Licensed Content for AI

detect_platform

Detect the content platform behind a URL via POST /detect-platform (Phase 12 Wave 3 W3.1). Public no-auth lookup. Given a URL, identifies what platform powers it (Substack / Beehiiv / Ghost / Medium / Brevo / custom) and returns the suggested onboarding workflow. Hostname-detectable platforms (Substack subdomain, Beehiiv suffix, etc.) resolve in milliseconds; custom domains may take ~few seconds while the detector probes well-known platform endpoints in parallel. Returns: {platform, confidence, archive_method, forward_method, required_credentials, instructions}. The archive_method + forward_method fields are the two onboarding-workflow inputs Opedd's setup wizard reads (one for historical content backfill, one for new-content forward stream). instructions is human-readable operator copy explaining the inferred path.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesPublisher URL to inspect (any well-formed URL works; hostname-match short-circuits the probe path).

TDQS

A4.2/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It discloses auth requirements ('Public no-auth lookup'), latency expectations (milliseconds vs ~few seconds for custom domains), and the fact that it probes well-known platform endpoints in parallel. This is substantial behavioral context, though it does not cover failure modes or rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the primary action and auth status, then provides return format and field semantics. It includes the unnecessary phase label 'Phase 12 Wave 3 W3.1' which adds noise, but otherwise every sentence contributes value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having no output schema, the description enumerates all return fields (platform, confidence, archive_method, forward_method, required_credentials, instructions) and explains how the key workflow fields are consumed. It also covers performance and auth, making it complete for a single-parameter tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already documents the url parameter with 100% coverage, including the hostname-match short-circuit behavior. The description adds no additional parameter-specific semantics; it only reiterates behavior already in the schema. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb+resource: 'Detect the content platform behind a URL' and enumerates output platforms (Substack, Beehiiv, Ghost, Medium, Brevo, custom). It clearly distinguishes from sibling tools by focusing on platform identification and onboarding workflow rather than content retrieval or licensing.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description states 'Public no-auth lookup' and 'Given a URL, identifies what platform powers it,' which implies the use case. It also explains that the returned archive_method and forward_method are read by Opedd's setup wizard, giving strong context for when to use it. However, it does not explicitly contrast with sibling tools or state when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A4.1/5.0
Disambiguation4/5

Most tools have distinct purposes, but list_feed and stream_feed_ndjson both list licensed articles (with different formats), and browse_registry vs publisher_directory could confuse agents about scope. Overall, the set is mostly clear.

Naming Consistency4/5

Names follow a verb_noun pattern with underscores (e.g., get_content, purchase_license). A few outliers like rsl_get and article_53_attestation break the pattern slightly, but the majority are consistent.

Tool Count4/5

17 tools cover buyer, publisher, and discovery workflows. While slightly above the typical 3-15 range, the complexity of the licensing platform justifies the count. No tool seems redundant.

Completeness4/5

The tool set covers discovery, purchase, content retrieval, compliance, and attestation comprehensively. Minor gaps like missing license management or key rotation are acceptable given the domain scope.